| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 330* | 2022 |
| Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction S Zheng, W Cao, W Xu, J Bian EMNLP, 2019 | 227 | 2019 |
| Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures T Zhang, Y Zhang, W Cao, J Bian, X Yi, S Zheng, J Li arXiv preprint arXiv:2207.01186, 2022 | 174 | 2022 |
| DEPTS: deep expansion learning for periodic time series forecasting W Fan, S Zheng, X Yi, W Cao, Y Fu, J Bian, TY Liu ICLR, 2022 | 68 | 2022 |
| Efficient and effective multi-task grouping via meta learning on task combinations X Song, S Zheng, W Cao, J Yu, J Bian NeurIPS, 2022 | 39 | 2022 |
| SEEK: Segmented embedding of knowledge graphs W Xu, S Zheng, L He, B Shao, J Yin, TY Liu ACL, 2020 | 37 | 2020 |
| DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction S Zheng, L Chen, L Huang, W Xu ACL, 2019 | 35 | 2019 |
| From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models X Wen, H Zhang, S Zheng, W Xu, J Bian KDD, 2024 | 24* | 2024 |
| Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series J Zhang, S Zheng, W Cao, J Bian, J Li KDD, 2023 | 23 | 2023 |
| A general distributed dual coordinate optimization framework for regularized loss minimization S Zheng, J Wang, F Xia, W Xu, T Zhang Journal of Machine Learning Research 18 (115), 1-52, 2017 | 20 | 2017 |
| PTaRL: Prototype-based tabular representation learning via space calibration H Ye, W Fan, X Song, S Zheng, H Zhao, D Guo, Y Chang ICLR, 2024 | 16 | 2024 |
| HierST: A unified hierarchical spatial-temporal framework for covid-19 trend forecasting S Zheng, Z Gao, W Cao, J Bian, TY Liu CIKM, 2021 | 14 | 2021 |
| Challenges of COVID-19 Case Forecasting in the US, 2020–2021 VK Lopez, EY Cramer, R Pagano, JM Drake, EB O’Dea, M Adee, T Ayer, ... PLoS computational biology 20 (5), e1011200, 2024 | 10 | 2024 |
| Learning differential operators for interpretable time series modeling Y Luo, C Xu, Y Liu, W Liu, S Zheng, J Bian KDD, 2022 | 10 | 2022 |
| Revisiting the evaluation of end-to-end event extraction S Zheng, W Cao, W Xu, J Bian Findings of ACL, 2021 | 10 | 2021 |
| The citylearn challenge 2022: Overview, results, and lessons learned K Nweye, Z Nagy, S Mohanty, D Chakraborty, S Sankaranarayanan, ... NeurIPS 2022 Competition Track, 85-103, 2023 | 8 | 2023 |
| UADB: Unsupervised Anomaly Detection Booster H Ye, Z Liu, X Shen, W Cao, S Zheng, X Gui, H Zhang, Y Chang, J Bian ICDE, 2023 | 7 | 2023 |
| BatteryML: An Open-source platform for Machine Learning on Battery Degradation H Zhang, X Gui, S Zheng, Z Lu, Y Li, J Bian ICLR, 2024 | 6 | 2024 |
| A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring Y Xing, H Ye, X Zhang, W Cao, S Zheng, J Bian, Y Guo BIBM, 2022 | 6 | 2022 |
| Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows W Fan, S Zheng, P Wang, R Xie, J Bian, Y Fu arXiv preprint arXiv:2401.16777, 2024 | 5 | 2024 |
Jiang BianMicrosoft ResearchVerifierad e-postadress på microsoft.com